A causal based inventory forecasting model for an electronics capital equipment manufacturer
By: John E. Hicks
Contributors: Naval Postgraduate School (U.S.) 
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1997
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 37
Description: With declining budgets for making inventory decisions throughout the business sector, the Navy, and the      Department of Defense, the need for accurate inventory demand forecasting is becoming an increasingly important      issue. The need for accurate forecasts and adequate inventory models is integral to cost savings, attaining customer      service levels, and to the climate of both for profit and public sector organizations. This thesis develops a      forecasting model that attempts to predict future demand by considering several causal factors that might reflect      future demand for items. Our results suggest that the model is no better than the current demand-based model,      either because our factors did not contain sufficient predictive power, or perhaps because no such factors exist.
Notes: "December 1997."

Thesis advisor(s): Kevin R. Gue, Shu S. Liao.

Thesis (M.S. in Management) Naval Postgraduate School, December 1997.

Includes bibliographical references (p. 35)

Approved for public release; distribution unlimited.

Also available online.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

US Navy (USN) author.

dk/dk cc:9116 5/19/98.